Challenge

Project 2 Adaptive Cruise Control

Objective of Main Project:

  1. Developing Adaptive Cruise Control feature as per the Requirement Document using MATLAB Simulink.
  2. Follow all the MBD related processes: Requirement Tagging & Traceability, SLDD creation, Configuration Parameter changes, Model Advisor check & Code Generation.
  3. In Configuration Parameters: enable “Support Floating Numbers” under Code Generation settings.
  4. Use Embedded Coder to generate the code.
  5. If choosing code generation, Storage class for Input signals: ImportedExtern; Storage class for Output signal: Export to File; Storage class for local signals: localizable; Storage class for calibration signals: Const.
  6. Choose sample time for all signals as 0.01s

Requirement 2 – Drive Vehicle:

  • Drive Vehicle is the vehicle driven by the user & this is the vehicle which has ACC algorithm in it.
  • Like the Lead Vehicle, Drive Vehicle algorithm also has 2 input signals (Signal Name: CameraInput_DriveVehicle, RadarInput_DriveVehicle) & one signal coming as an Input to this subsystem (Signal Name: Acceleration_Mode) – three inputs into this requirement in total.
  • Like the above requirement, sensor fusion techniques will also be deployed here, for complexity reasons we are ignoring them.
  • Two output signals come from this subsystem (Signal Name: DriveVehicle_Speed & LeadVehicle_Detected).
  • Signal DriveVehicle_Speed is summation of three input signals mentioned above & LeadVehicle_Detected is renamed from Input Signal RadarInput_DriveVehicle by mere use of Signal Conversion block.

Requirement 1– Lead Vehicle:

  • Lead Vehicle is a vehicle which is driving in the road ahead of our drive vehicle. Two input signals (Signal Name: CameraInput_LeadVehicle & RadarInput_LeadVehicle).
  • Ideally sensor fusion techniques will be deployed to process & analyze data from camera & radar. For complexity reasons, let’s not adapt to any such algorithms.
  • We can simply add both the radar & camera inputs & the corresponding output is read as Speed profile output (Signal Name: LeadVehicle_Speed).
  • Speed data of the lead vehicle is critical in implementing the Adaptive Cruise Control algorithm.

Requirement 3 – Adaptive Cruise Control Algorithm:

  • Adaptive Cruise Control feature has 3 major modes of operation: OFF Mode, STANDBY Mode & ON Mode. This particular requirement has to be implemented as state machine logic in Simulink.
  • The input signals to this state machine system are (Signal Name: Time_Gap, Set_Speed, Set_Gap, CruiseSwitch, SetSwitch).
  • Also, the output signals (Signal Name: DriveVehicle_Speed & LeadVehicle_Detected) from requirement-2 is fed back as an input signal into this state machine block.
  • Additionally, output signal (Signal Name: LeadVehicle_Speed) from requirement-1 is given as an input signal to this state machine block as well.
  • Output from this subsystem is a signal (Signal Name: Acceleration_Mode) which governs the vehicular speed of the drive vehicle which automatically adjusts its speed & velocity to match the lead vehicle.

Requirement 3a – ACC OFF MODE state logic:

  • This is the default state inside state machine logic. Output signal Acceleration_Mode is at value 0 in this state.
  • This state is governed by input signal CruiseSwitch.
  • If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC ON mode or ACC STANDBY mode

Requirement 3b – ACC STANDBY MODE state logic:

  • This is the second activated state inside state machine logic. Output signal Acceleration_Mode is at value 1 in this state.
  • This state is governed by both input signals CruiseSwitch & SetSwitch.
  • If CruiseSwitch is equal to 1, state ACC STANDBY mode will get activated. If CruiseSwitch is equal to 0, state ACC OFF mode will get activated, from either ACC ON mode or ACC STANDBY mode
  • If SetSwitch is equal to 1, state ACC ON mode will get activated. If SetSwitch is equal to 0, state ACC STANDBY mode will get activated.

Requirement 3c – ACC ON MODE state logic:

This state will be activated when input signal SetSwitch is equal to 1. There are 6 sub states to this state logic: They are:

  • LeadVehicle_Detected_Follow (Default)
  • LeadVehicle_Not_Detected
  • LeadVehicle_Detected_Resume
  • LeadVehicle_Not_Detected_Resume
  • LeadVehicle_Speed_lessthan_Set_Speed
  • LeadVehicle_Speed_equal_Set_Speed

Requirement 3c (i) – LeadVehicle_Detected_Follow (ACC ON MODE):

  • This is the default sub state inside ACC ON MODE state. Output signal Acceleration_Mode is equal to 2.
  • Condition to transit from LeadVehicle_Detected_Follow to LeadVehicle_Not_Detected; Input signal condition LeadVehicle_Detected == 0.
  • Condition to transit from LeadVehicle_Detected_Follow to LeadVehicle_Speed_lessthan_Set_Speed; Input Signals condition (LeadVehicle_Detected == 1) && (LeadVehicle_Speed < Set_Speed) || (Time_Gap < Set_Gap).

Requirement 3c (ii) – LeadVehicle_Not_Detected (ACC ON MODE):

  • Output signal Acceleration_Mode is equal to 1.
  • Condition to transit from LeadVehicle_Not_Detected to LeadVehicle_Detected_Follow; Input signals condition [(LeadVehicle_Detected==1) && (DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
  • Condition to transit from LeadVehicle_Not_Detected to LeadVehicle_Speed_lessthan_Set_Speed; Input signals condition [(LeadVehicle_Detected == 1) && (LeadVehicle_Speed < Set_Speed) || (Time_Gap < Set_Gap)]

Requirement 3c (iii) – LeadVehicle_Detected_Resume (ACC ON MODE):

  • Output signal Acceleration_Mode is equal to 3.
  • Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Detected_Follow; Input signals condition [(DriveVehicle_Speed == Set_Speed) && (LeadVehicle_Speed >= Set_Speed) && (Time_Gap >= Set_Gap)]
  • Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Not_Detected_Resume; Input signal condition LeadVehicle_Detected==0.
  • Condition to transit from LeadVehicle_Detected_Resume to LeadVehicle_Speed_equal_Set_Speed; Input Signal condition [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) && (Time_Gap >= Set_Gap)]

Requirement 3c (iv) - LeadVehicle_Not_Detected_Resume (ACC ON MODE):

  • Output signal Acceleration_Mode is equal to 1.

Requirement 3c (v) - LeadVehicle_Speed_lessthan_Set_Speed (ACC ON MODE):

  • Output signal Acceleration_Mode is equal to 4.
  • Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to LeadVehicle_Not_Detected; Input signal condition [(LeadVehicle_Detected == 0) && (DriveVehicle_Speed == Set_Speed)]
  • Condition to transit from LeadVehicle_Speed_lessthan_Set_Speed to LeadVehicle_Speed_equal_Set_Speed; Input signals condition [((LeadVehicle_Speed*1.25>=DriveVehicle_Speed) && (LeadVehicle_Speed * 0.75<=DriveVehicle_Speed)) && (DriveVehicle_Speed < Set_Speed) && ((Time_Gap<=1.25*Set_Gap) && (Time_Gap >=0.75*Set_Gap))]

Requirement 3c (vi) - LeadVehicle_Speed_equal_Set_Speed (ACC ON MODE):

  • Output signal Acceleration_Mode is equal to 5.
  • Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Not_Detected_Resume; Input signal conditions is [(LeadVehicle_Detected == 0) || (DriveVehicle_Speed <= Set_Speed)]
  • Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Detected_Resume; Input signal conditions [(DriveVehicle_Speed < Set_Speed) && (LeadVehicle_Speed > DriveVehicle_Speed) || (Time_Gap >= Set_Gap)]
  • Condition to transit from LeadVehicle_Speed_equal_Set_Speed to LeadVehicle_Speed_lessthan_Set_Speed; Input signals conditions [(LeadVehicle_Speed

Signals & Calibration Data List:

Signal / Calibration Name

Signal Type

Data Type

Dimension

Min

Max

Initial Value

Units

CameraInput_LeadVehicle

Input

Uint8

1

0

255

-

-

RadarInput_LeadVehicle

Input

Uint8

1

0

255

-

-

CameraInput_DriveVehicle

Input

Uint8

1

0

255

-

-

RadarInput_DriveVehicle

Input

Uint8

1

0

255

-

-

Time_Gap

Input

Uint8

1

0

255

-

-

Set_Speed

Input

Uint8

1

0

255

-

-

Set_Gap

Input

Uint8

1

0

255

-

-

CruiseSwitch

Input

Boolean

1

0

1

-

-

SetSwitch

Input

Boolean

1

0

1

-

-

Acceleration_Mode

Output

Uint8

1

0

255

-

-

LeadVehicle_Speed

Output

Uint8

1

0

255

-

-

DriveVehicle_Speed

Output

Uint8

1

0

255

-

-

LeadVehicle_Detected

Output

Uint8

1

0

255

-

-

Process to Build this project

There is three requiremnt in this project requirement 1 lead vehical requirement, 2 drive vehical, requirement 3 Adaptive cruise control algorithm

Requirement 1– Lead Vehicle:

In this subsystem there is 2 input camera input and radar input and one output will come from this subsystem as Lead vehical speed as summation of the two input signal

Requirement 2 – Drive Vehicle:

In this system there is also two signal camrea input drive vehical and radar input drive vehical and one corresponding output Drive vehical speed

And one more signal will come to this system as input signal and the name is Acceleration mode which is comming as feedback signal for that we used unit delay block

And one modre output will come frome this subsystem as renamed of input signal radar input drive vehical to Lead vehical detected for that we used signal conversion block

Requirement 3 – Adaptive Cruise Control Algorithm:

There is three mode in this subsystem name ON mode OFF mode and standby mode

There is five input signal for this statemachine algorithm name Time_Gap, Set_Speed, Set_Gap, CruiseSwitch, SetSwitch

And thwo more signal will come come this sub system as input signal fron output signal of requirement 2 signal name DriveVehicle_Speed & LeadVehicle_Detected

And one more input signal will come this subsystem from output signal of requirement 1 name LeadVehicle_Speed

And one final output will come from this system as Acceleration mode whill controll the speed and velocity of Dive vehical according to the lead vehical speed

Then after creat SLDD file as per requirement and attached to this model

And then after set model configuration parameter

Then generate model adviser report

And at last generate Code for the system

Result

After sucessfull creation of model using matlab similink run's the mode and its run sucessfully without any error and it is working on the basis of requirement

Conlusion

This model Adaptive cruise control runs successfully and working fine according to requirement

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